Simplified Swarm Optimization (SSO) is a novel population-based stochastic optimization algorithm proposed by Yeh in 2009 to compensate for the deficiencies of Particle Swarm Optimization (PSO) in ...
The proposed approach forms a two-layer optimization framework: the outer particle swarm optimization layer handles parameter tuning, while the inner chaotic search improves the solution using the ...
Butterfly optimisation techniques constitute a class of swarm-inspired metaheuristic algorithms that mimic the foraging and mating behaviour of butterflies. At their core, these algorithms assign a ...
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